Provided herein are methods of preparing a protein sample for proteomic analysis. In exemplary embodiments, the method comprises (a) contacting a blood sample comprising proteins with a protective agent comprising an anticoagulant (AC) and an aldehyde releaser (AR), to obtain a mixture, optionally, wherein the blood sample is added to a blood collection tube (BCT) comprising the protective agent, and (b) isolating a fraction comprising proteins or a source of proteins from the mixture to yield a protein sample or a source of a protein sample, wherein steps of the method are carried out in the absence of exogenous proteolytic enzyme inhibitors, wherein the protein sample is suitable for proteomic and peptidomic analysis.

Presented herein are methods of evaluating cellular activity by: placing a cell population on an area; assaying for a dynamic behavior of the cell population as a function of time; identifying cell(s) of interest based on the dynamic behavior; characterizing a molecular profile of the cell(s); and correlating the obtained information. The assayed dynamic behavior can include cellular activation, cellular inhibition, cellular interaction, protein expression, protein secretion, cellular proliferation, changes in cellular morphology, motility, cell death, cell cytotoxicity, cell lysis, and combinations thereof. Sensors associated with the area may be utilized to facilitate assaying. Molecular profiles of the cell(s) can then be characterized by various methods, such as DNA analysis, RNA analysis, and protein analysis. The dynamic behavior and molecular profile can then be correlated for various purposes, such as predicting clinical outcome of a treatment, screening cells, facilitating a treatment, diagnosing a disease, and monitoring cellular activity.

A transformative method to profile the glycome in individual cells by leveraging computational biology tools with lectin or similar profiling technologies. Robust and accurate reconstruction glycomes with high-resolution glycan structure information for biological samples, including at the single cell level. Tools such as single-clone analysis andjoint-clone analysis, which may be used to assist researchers in analyzing single cell glycoprofiled samples, which identify how glycosylation variation across cells impact the cellular phenotypes. Single cell glycoprofiling using lectins is practically implemented to provide high resolution of the glycan structure information. Glycan profiling techniques having a wide range of biological applications from embryonic development to cancer and infectious disease due to high throughput, low cost, and robust reliability.

The invention relates to a method for coupling in-line the analysis of molecular interactions by surface plasmon resonance (SPR) with a structural identification by mass spectrometry using the same functionalized support for both types of analysis.

Provided herein are methods, assays and devices for the differential diagnosis and detection of disease progression of autoimmune diseases. The methods, assays and devices provided herein produce and analyze binding patterns of peripheral-blood antibodies on mimetic peptide arrays that differentiate autoimmune diseases, and identify patients progressing to internal organ complications such as interstitial lung disease (ILD), and gastric antral vascular ectasia (GAVE), or renal involvement.

This invention is directed to His-tag binding compounds and uses thereof in the preparation of genetically targeted detectable molecules and sensors which can specifically bind tag-labeled proteins. This invention further provides a system comprising recombinant cells decorated with various labels and/or synthetic agents, wherein said labels and/or synthetic agents can be reversibly modified or removed from the cells. Also disclosed herein are methods for decorating and/or modifying the cells and methods for using thereof.

Provided herein are methods for assessing cell surface glycans, e.g., N-glycans, by assessing a sample of released surface glycans, and determining the presence, absence, or level of glycans present in the sample. Also provided are methods of assaying and/or evaluating a cell composition by assessing the cell surface glycan profile of the cell composition and comparing the profile to a reference sample. Methods for manufacturing and/or culturing a plurality of cell compositions having consistent surface glycan expression with low variability are also provided.

Provided herein are methods for preparing biological samples for spatial proteomic analysis, methods of determining a location of a protein analyte in a biological sample, and methods of determining a location of a protein analyte and a nucleic acid analyte in a biological sample.

Apparatus and methods for the detection of proteins in biological fluids such as urine using a label-free assay is described. Specific proteins are detected by their binding to highly specific capture reagents such as SOMAmers that are attached to the surface of a substrate. Changes to these capture reagents and their local environment upon protein binding modify the behavior of color centers (e.g., fluorescence, ionization state, spin state, etc.) embedded in the substrate beneath the bound capture reagents. These changes can be read out, for example, optically or electrically, for an individual color center or as an average response of many color centers.

A set of serum metabolic biomarkers and detection kit for detecting drug-resistant tuberculosis are provided. The set of the serum metabolic biomarkers includes 17 serum metabolic biomarkers. The 17 serum metabolic biomarkers are verified to be associated with tuberculosis based on the level changes of these biomarkers. The 17 metabolites includes taurine, homocysteine, uric acid, ascorbic acid, suberylglycine, uridine, dopamine 4-sulfate, inosinic acid, glyceraldehyde phosphate, [3-methoxy-4-(phosphoryl)phenyl]carbonyl sulfonic acid, nuclomedone, n4-cyclopropyl-6-(2,3-dichlorophenyl)-1,2,3,4-tetrahydropyrimidine-2,4-diimine, 1-[2-chlorine-2-(2,4-dichlorophenyl)ethenyl]-1,2,4-triazole, tetrachloro-phthalic anhydride, malotilate, fulvic acid, and L-neopterin. The serum metabolic biomarkers and detection kit for detecting drug-resistant tuberculosis can assist doctors in accurately diagnosing the disease, which is of great significance for the diagnosis and mass screening for drug-resistant tuberculosis.